Evidence map›Paper›PMID 26407293›Full record

ArticlePloS one2015

Interspecies Gene Name Extrapolation--A New Approach.

Roxana Cojocneanu Petric, Cornelia Braicu, Cristian Bassi, Laura Pop, Ionelia Taranu, Nicolae Dragos, Dan Dumitrascu, Massimo Negrini, Ioana Berindan-Neagoe

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Roxana Cojocneanu PetricDepartment of Biology, Babes Bolyai University, Cluj-Napoca, Romania; Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Cornelia BraicuResearch Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania; Department of Functional Genomics and Experimental Pathology, The Oncology Institute "Prof. Dr. Ion Chiricuta", Cluj-Napoca, Romania.
Cristian BassiDepartment of Morphology, Surgery and Experimental Medicine, Ferrara University, Ferrara, Italy.
Laura PopResearch Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Ionelia TaranuNational Institute of Research and Development for Biology and Animal Nutrition, Balotesti, Romania.
Nicolae DragosTaxonomy and Ecology Department, Institute of Biological Research, Cluj-Napoca, Romania.
Dan Dumitrascu2nd Department of Internal Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Massimo NegriniDepartment of Morphology, Surgery and Experimental Medicine, Ferrara University, Ferrara, Italy; Laboratory for Technologies of Advanced Therapies (LTTA), Ferrara University, Ferrara, Italy.
Ioana Berindan-NeagoeResearch Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania; Department of Experimental Therapeutics, MD Anderson Cancer Center, Houston, Texas, United States of America; Department of Functional Genomics and Experimental Pathology, The Oncology Institute "Prof. Dr. Ion Chiricuta", Cluj-Napoca, Romania; Department of Immunology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of animal models has facilitated numerous scientific developments, especially when employing "omics" technologies to study the effects of various environmental factors on humans. Our study presents a new bioinformatics pipeline suitable when the generated microarray data from animal models does not contain the necessary human gene name annotation. We conducted single color gene expression microarray on duodenum and spleen tissue obtained from pigs which have been exposed to zearalenone and Escherichia coli contamination, either alone or combined. By performing a combination of file format modifications and data alignments using various online tools as well as a command line environment, we performed the pig to human gene name extrapolation with an average yield of 58.34%, compared to 3.64% when applying more simple methods. In conclusion, while online data analysis portals on their own are of great importance in data management and assessment, our new pipeline provided a more effective approach for a situation which can be frequently encountered by researchers in the "omics" era.

Indexed as

GenesTerminology as TopicAnimalsComputational BiologyHumansInternetMolecular Sequence AnnotationSoftware

Identifiers

PMID26407293
PMCPMC4583432

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.